• Use and suggest new tools and scripts to optimize models and policies. • Scope, plan, and deliver customer focused projects. • Inspire and support research that improves team capabilities. • Explain complex behaviors using data to non-technical audiences. • Develop strong best practices for the team to streamline deliverables. • Collaborate with various teams to redefine best practices and improve products.

• Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows • Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators • Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions including data visualization, statistical analysis, machine learning, and data mining • Organizes and automates project steps for data preparation and analysis • Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources

Role Description The Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants. To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. This is a lean and mighty team that owns and operates the engine for merchant acquisition globally. What you'll be doing - Developing and deploying production-level ML models - Crafting metrics to unlock deeper insights into merchant selection quality for all markets - Conducting experiments to understand the impact of selection on specific markets - Working on self-serve tooling to track these insights This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards. Qualifications - 3-5 years of experience in data science, consulting, or a related quantitative role - Fluent in Python & SQL - Strong exploratory data analysis skills, willingness to look under the hood - Exposure to experimental design (A/B testing) and key statistical methods - Experience in feature engineering, model design, evaluation, diagnostics, and monitoring - Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte) - Determination to initiate and lead/own strategic projects to completion with a cross-functional team - Innate curiosity to understand how things work and a first-principles approach to problem solving Benefits - Interesting and complex challenges with opportunities to create a big impact - Work onsite at our offices in Helsinki, Stockholm, or Berlin, or remotely anywhere in Finland, Sweden, or Germany - Flexible working arrangements: hybrid, at the office, or remote - A company culture that emphasizes ownership, kindness, and continuous learning Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to the Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com) Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

• Build, deploy, and maintain full-stack data science solutions, from data extraction to machine learning model deployment and monitoring. • Partner with the data engineer and data scientist to ensure clean, structured data is available for analysis and predictive modeling. • Design and implement advanced machine learning models, including regression, classification, and clustering techniques, to predict workforce needs and identify skills gaps. • Develop APIs to integrate machine learning models into enterprise applications and workflows, enabling real-time decision-making. • Ensure data integrity, consistency, and accuracy across multiple platforms, working closely with data governance teams to align processes. • Use data visualization tools (e.g., Tableau, Power BI) to translate complex analytical insights into actionable business recommendations for HR, business leaders, and other stakeholders. • Implement optimization algorithms to recommend actions such as hiring, training, or workforce engagement based on model outputs and business constraints. • Continuously track model performance and refine processes for model efficiency and scalability.